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Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )

Papers

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Showing 61–70 of 142 papers

TitleStatusHype
Few-shot Weakly-Supervised Object Detection via Directional Statistics—0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
Online Active Proposal Set Generation for Weakly Supervised Object Detection—0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation—0
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object DetectionCode1
Cascade Attentive Dropout for Weakly Supervised Object Detection—0
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Comprehensive Attention Self-Distillation for Weakly-Supervised Object DetectionCode1
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection—0
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shiftsCode1
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